MACHINE LEARNING

Unsupervised Learning

Discover hidden structures and patterns in unlabeled data using clustering and dimensionality reduction techniques.

~25 hours

Learning Objectives

K-Means ClusteringHierarchical ClusteringPrincipal Component Analysis (PCA)Anomaly Detection

Segment a customer base using K-Means clustering and visualize the clusters using PCA.

📖 Learn by Reading

Pattern Recognition and Machine Learning

Christopher M. Bishop

The definitive textbook on machine learning from a Bayesian perspective, essential for understanding unsupervised methods.

🎥 Learn by Watching

Unsupervised Learning, Recommenders, Reinforcement Learning

Andrew Ng • Coursera • 27:00:00

Teaches clustering, dimensionality reduction, and advanced unsupervised learning algorithms.